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  <titleInfo>
    <title>Concave cost capacitated network flows and multi-period lotsizing problems with uncertain demands</title>
  </titleInfo>
  <name type="personal">
    <namePart>Do, Ba Khang</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Fujiwara, Okitsugu</namePart>
    <role>
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  <name type="personal">
    <namePart>Nagarur, Nagendra N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Tabucanon, Mario T.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Vilas Wuwongse</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Konno, Hiroshi</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of Japan</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1990</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>105 p.</extent>
  </physicalDescription>
  <abstract>The dissertation considers am ultiperiod lotsizing problem on a complex production or inventory  system where demaqds are random. The problem is formulated as a stochastic network flow model  which also incorporates service level constraints. The model is approximated with a capacitated  and deterministic network flow problem with concave cost function. A scaling method is proposed  to solve this approximate flow problem. The method is efficient and produces an exact local optimum  flow. The Lagrange relaxation method is also applied to find lower bounds for the optimum system  cost. As an application, a stochastic coordinated multi-item lotsizing problem is considered and  .solved. Some computation experiments are carried out, showing the efficiency of the new methods  in handling practical problems.</abstract>
  <note>A dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of  Technical Sciences, School of Engineering and Technology</note>
  <note>Thesis (Ph.D.) - Asian Institute of Technology, 1990</note>
  <subject authority="lcsh">
    <topic>Economic lot size</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Production management</topic>
  </subject>
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    <titleInfo>
      <title>Dissertation ; no. IE-90-01</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B18156</identifier>
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